Citation: YANG Zhen-Fa, XIAO Hang, ZHANG Lei, ZHANG Fa-Ye, JIANG Ming-Shun, SUI Qing-Mei, JIA Lei. Rapid Determination of Oxides Content in Cement Raw Meal Based on Near Infrared Spectroscopy[J]. Chinese Journal of Analytical Chemistry, ;2020, 48(2): 275-281. doi: 10.19756/j.issn.0253-3820.191299 shu

Rapid Determination of Oxides Content in Cement Raw Meal Based on Near Infrared Spectroscopy

College of Control Science and Engineering, Shandong University, Jinan 250061, China

Received Date: 22 May 2019
Revised Date: 3 December 2019

Fund Project: This work was supported by the National Natural Science Foundation of China (Nos.61873333, 61803179), the Key Research and Development Program of Shandong Province (No. 2017CXGC0610) and the Youth Scholar Program of Shandong University (No. 2016WLJH30).

The contents of four oxides in cement raw meal were determined by near infrared spectroscopy. In this method, the near infrared spectrum was collected by diffuse reflectance method, and X-ray fluorescence spectroscopy analysis was used to determine the reference values of oxides content. The outliers were eliminated according to the Mahalanobis distance, and then the samples were divided into calibration subset and validation subset by sample set partitioning based on joint X-Y distance (SPXY) method. The optimal wavelength variables were selected by backward interval partial least squares and genetic algorithm. Quantitative calibration models of four oxides were established by partial least squares algorithm, which showed good prediction performance. The correlation coefficients of validation subsets of CaO, SiO₂, Al₂O₃ and Fe₂O₃ models were 0.9411, 0.9337, 0.8612 and 0.7351, the root mean square error of prediction were 0.0994, 0.1044, 0.0693 and 0.0387, the average absolute errors were 0.075%, 0.083%, 0.051% and 0.025%, respectively. By comparing with prompt gamma-ray neutron activation analysis and laser-induced breakdown spectroscopy analysis, the near infrared spectroscopy analysis has short time-consuming, highest accuracy, and best effect. It is suitable for rapid and accurate determination of contents of four oxides in cement raw meal, and provides a new idea for quality monitoring of cement raw meal.
- Near infrared spectroscopy,
- Cement raw meal,
- Oxides,
- Component analysis,
- Rapid determination
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